Recent advances in survey sampling have underscored the value of auxiliary variables in estimating finite population means. By incorporating additional information from related variables, researchers ...
Latent variable modeling comprises a suite of methodologies that infer unobserved constructs from observable indicators, thereby enabling researchers to quantify abstract phenomena across diverse ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process industry. Based on random forest, extreme gradient boosting, and artificial ...
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